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Published Release Notes

Find release notes for the selected Pega Version and Capability

Browse resolved issues for Platform releases.

This documentation is for non-current versions of Pega Platform. For current release notes, go here.

Support for large case attachments

Valid from Pega Version 7.4

You can now attach large files to a case on a variety of cloud storage options, including Pega Cloud File Storage, Amazon S3, Microsoft Azure, and JFrog Artifactory. Files can be 1 to 2 GB depending on your environment configuration. Attachments are streamed to the selected storage option without being loaded into memory, which reduces the risk of generating an out-of-memory error. Additionally, all cloud instances now have the new Pega Cloud File Storage repository defined.

For more information, see Storing case attachments outside the Pega Platform database.

Data pages can source information from a robotic process automation

Valid from Pega Version 7.4

When you use robotic process automation (RPA), you can now configure data pages to source information from robotic automations so that you can connect your Pega® Platform application to legacy applications in your enterprise. By using automations to retrieve data and save it to a data page, you can use data virtualization to encapsulate your Pega Platform data model from the physical interface of a legacy system against which the automation is running.

For more information, see Obtaining information from robotic automations.

CRM core data types included in Pega Platform

Valid from Pega Version 7.4

Customer Relationship Management (CRM) core data types are now included with Pega® Platform, making it easier to bring your data into your Pega application. You can either import your data into the data tables for the CRM data types or use integration to communicate with your own system of record. The database tables for these data types are non-Pega formatted, which gives you better performance and more control over your data.

For information about the database tables, see CRM data types in Pega Platform.

Use fast processing option does not work

Valid from Pega Version 7.3.1

The Use fast processing option on Connect REST and Service REST rule forms does not work unless you obtain the HFix-43000 hotfix from Global Customer Service.

Use the following data model guidelines when using fast processing:

  • The JSON property names and the clipboard property names must match.
  • The JSON tree structure and the clipboard tree structure must be similar.
  • The scalar arrays in JSON must be mapped to the clipboard as page lists.
  • Multi-dimensional arrays must be mapped into page lists of page lists with the same embedded property names.

​In addition, page groups, value groups, and Java objects are not supported by fast processing.

Applications not working as expected when using fast processing for Connect REST and Service REST integration

Valid from Pega Version 7.4

In Pega® Platform 7.3.1, the Use fast processing option on Connect REST and Service REST rule forms did not work. The functionality has been fixed for Pega 7.4; however, some data model guidelines must be followed. If you use this option in Pega 7.3.1, and you did not follow the guidelines, your application might not work as expected after upgrading. Use the following data model guidelines when using fast processing:

  • The JSON property names and the clipboard property names must match.
  • The JSON tree structure and the clipboard tree structure must be similar.
  • The scalar arrays in JSON must be mapped to the clipboard as page lists.
  • Multi-dimensional arrays must be mapped into page lists of page lists with the same embedded property names.

In addition, page groups, value groups, and Java objects are not supported by fast processing.

Data pages can source information from a robotic desktop automation

Valid from Pega Version 8.1

You can now configure data pages to source information from robotic desktop automations (RDA). Using an RDA to source a data page allows you to connect your Pega Platform™ application to any application that is accessible from an end-user's desktop. By using automations to retrieve data and load it into a data page, you can use data virtualization to separate your Pega Platform data model from the physical interface of a legacy system against which the automation is running.

For more information, see Obtaining information from robotic automations.

Supported artifacts section removed from repository rule form

Valid from Pega Version 8.1

The Supported artifacts check box has been removed from the repository rule form. Developers can use repositories to provide centralized storage, versioning, and metadata support for application artifacts.

For information about repository connections, see Creating a repository for file storage and knowledge management.

Support for character data type on local variables in activities deprecated

Valid from Pega Version 8.1

Support for the character data type for local variables in activities is deprecated. Use the string data type instead.

For more information about activities, see Activities.

When rule might not resolve against @baseclass

Valid from Pega Version 8.1

In the rare case in which a step page context is null, or the pxObjClass associated with the step page is empty, the system no longer attempts to resolve the when rule against @baseclass. As a result, you might see more rule not found errors. Check the step page context and class and ensure that they are not null or empty. In all other cases, if a when rule is not found in any other part of the class hierarchy, the system attempts to resolve it against @baseclass.

New integration system resource

Valid from Pega Version 8.1

You can now define integration systems that you can use when you create data pages, integration connectors, and databases. Integration systems are associated with an icon that is displayed on the Integration Designer so that you can quickly view the systems that are used by your data types. This information is useful for assessing the effect of migrating to a new system of record and for understanding your data model.

For more information, see Creating an integration system.

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